计算模型
标量(数学)
计算机科学
财产(哲学)
光学(聚焦)
时间知觉
感知
意识的神经相关物
机器学习
人工智能
神经科学
认知心理学
心理学
认知
数学
物理
哲学
几何学
认识论
光学
作者
Zhuanghua Shi,Bon-Mi Gu,Stefan Glasauer,Warren H. Meck
出处
期刊:Timing & time perception
[Brill]
日期:2022-10-06
卷期号:11 (1-4): 198-219
被引量:2
标识
DOI:10.1163/22134468-bja10059
摘要
Abstract One of the major challenges for computational models of timing and time perception is to identify a neurobiological plausible implementation that predicts various behavioral properties, including the scalar property and retrospective timing. The available timing models primarily focus on the scalar property and prospective timing, while virtually ignoring the computational accessibility. Here, we first selectively review timing models based on ramping activity, oscillatory pattern, and time cells, and discuss potential challenges for the existing models. We then propose a multifrequency oscillatory model that offers computational accessibility, which could account for a much broader range of timing features, including both retrospective and prospective timing.
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